School of Engineering
Showing 1-27 of 27 Results
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Varun Vasudevan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsMy research focus is in deep learning for medical image analysis.
During Masters, my research was in best rank-1 approximations in the 1-norm. -
Catalin Voss
Ph.D. Student in Computer Science, admitted Autumn 2017
BioCatalin Voss is an entrepreneur and a PhD candidate in Artificial Intelligence at Stanford University, where he previously graduated with a MS and BSH in Computer Science. Catalin’s research focusses on building scalable AI systems that solve practical social challenges. Catalin developed an AI-based augmented reality therapy for children with autism, currently pursuing FDA clearance. He also co-founded DukaConnect, a Kenyan company that built a computer vision based Point of Sale system for shopkeepers in emerging markets and was acquired by Mastercard in 2018. As an undergraduate student in theoretical computer science, Catalin founded computer vision company Sension, developing face tracking software that was acquired by GAIA Systems (owned by Toyota) in 2015. While in high school, Catalin built a mobile payments system at PayNearMe with Macintosh-father Steve Capps. He has won the Lemelson-MIT Graduate Student prize, Stanford's Kennedy Medal, Forbes’ 30 under 30, Business Insider’s 40 under 40, and other awards for his work and has been profiled in outlets such as WIRED. Originally from Germany, Catalin moved to Silicon Valley at age 17 and has served as an advisor and Venture Partner for Axel Springer, Europe’s largest publishing company.
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Saurabh Vyas
Ph.D. Student in Bioengineering, admitted Autumn 2014
BioHow does the brain prepare and execute movements from as simple as reaching for a cup of coffee to performing a perfectly synchronized dive? Which computational principles does the brain use to help us learn new motor skills? Do these insights enable development of next-generation medical devices that can help people with movement disorders? To study these questions, I apply techniques from statistical signal processing, machine learning, and dynamical system theory to uncover computational motifs that underlie motor control and learning.
Please visit my website for up-to-date details about my research and publications:
http://stanford.edu/~smvyas/
